Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming, Statistics, Biostatistics
Manager Data Science and Data Integrity (all gender)
Are you a data native and would you like to shape the future of our global data products? Join our data team and be part of our journey to become a data-driven company.
Your role:
The world of pharmaceutical manufacturing is full of data challenges and opportunities. We’re building up a data science team which will be set out to tackle these. Your role is to build up a data science profile within our BTS (Business Technology Solution) department.
You will be part of a rapidly growing, innovative and highly agile team of automation and track & trace engineers, MES, OSI PI and IT experts with opportunities to bring in new ideas with self-responsibility to have a real impact on our strategic development.
You identify and recommend business process efficiencies and improvements by formulating and solving analytics challenges that offers the greatest business opportunity and drives data-driven decision making. You are responsible to determine appropriate datasets and algorithms, to uncover patterns, and to formulate business solutions. In our team you will be closely working with our business stakeholders to further automate business processes utilizing data science and machine learning., while aligning to global standards and best practices.
You collaborate with business and BTS stakeholders to track and map value driven by the project to demonstrate savings and return on the investment (ROI) for process improvements derived from data analytics insights (such as product yield improvements, reduction of cycle time, and elimination of waste).
You act as a technical liaison between BTS, vendors, and various business/client areas, using appropriate tools to collect, correlate, and analyze data for use, and implement solutions that drive business goals.
Look forward to the following responsibilities:
Qualifications
Your AbbVie Talent:
enterprise settings. Proficiency in machine learning frameworks and data analytics tools.
Having a remarkable impact
For you, working at AbbVie should not just be a job, but a passion. We are looking for people who really want to make a difference and who want to join us in putting patients at the center of what we do. First and foremost, we want to cultivate an open corporate culture, and this becomes apparent everywhere – in the production area, in the break rooms, in the employee restaurant and throughout the entire site.
Our colleagues come from a wide variety of fields – from pharmaceutical production staff to employees who were once bakers or butchers. At AbbVie, you have the opportunity, from day one, to get involved, contribute and really effect change. Things never get boring at AbbVie!
What we offer
A challenging job with a high level of personal responsibility in a dedicated and competent team. A mentor will support your onboarding process as a coach and partner.
Focused and passionate work needs the right framework. Therefore, we provide our employees with the greatest possible flexibility to align their daily work routine with their individual needs. This is rounded off by flexible working models, a wide range of services and comprehensive health and sports programs.
AbbVie offers an attractive salary and corporate social benefits including our award-winning corporate health management, which officially ranks as one of the best in Germany, as well as a wide range of career paths and opportunities for professional development.
Become a part of our team!
Would you like to join our team? Great – we look forward to receiving your online application!
A CV is completely sufficient.
AbbVie is a highly diverse and international organization. We therefore welcome diversity among applicants, particularly applications from people with chronic diseases and severe disabilities.
AbbVie is an American publicly traded biopharmaceutical company founded in 2013. It originated as a spin-off of Abbott Laboratories.
Ludwigshafen, Germany
2-4 year
Ludwigshafen am Rhein, Germany
2-4 year